Evidence map›Paper›PMID 32597806›Full record

ArticleJournal of Alzheimer's disease : JAD2020

Gait Disturbances are Associated with Increased Cognitive Impairment and Cerebrospinal Fluid Tau Levels in a Memory Clinic Cohort.

Marijn Muurling, Hanneke F M Rhodius-Meester, Juha Pärkkä, Mark van Gils, Kristian S Frederiksen, Marie Bruun, Steen G Hasselbalch, Hilkka Soininen, Sanna-Kaisa Herukka, Merja Hallikainen and 7 more

Open access · greenAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
1.8field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Observational
  5. Turning as a single and dual task-associations with Alzheimer's and vascular pathologies in cognitively healthy older people.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Relationship of Alzheimer's Disease and Related Dementias Plasma Biomarkers With Mobility in Cognitively Unimpaired Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  11. Article
  12. Longitudinal investigation of gait and Alzheimer's disease in adults with Down syndrome.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  13. Article
  14. Review
  15. Associations of Neurological Biomarkers in Serum With Gait Measures: The Cardiovascular Health Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
  16. Review
  17. Predicting Ambulatory Capacity in Parkinson's Disease to Analyze Progression, Biomarkers, and Trial Design.Movement disorders : official journal of the Movement Disorder Society · 2023
    Observational
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 5 institutions in 3 countries.

Marijn MuurlingAlzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.
Hanneke F M Rhodius-MeesterAlzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.
Juha PärkkäVTT Technical Research Centre of Finland Ltd., Tampere, Finland.
Mark van GilsVTT Technical Research Centre of Finland Ltd., Tampere, Finland.
Kristian S FrederiksenDanish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Denmark.
Marie BruunDanish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Denmark.
Steen G HasselbalchDanish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Denmark.
Hilkka SoininenInstitute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio, Finland.
Sanna-Kaisa HerukkaInstitute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio, Finland.
Merja HallikainenInstitute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio, Finland.
Charlotte E TeunissenNeurochemistry Lab and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, the Netherlands.
Pieter Jelle VisserAlzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.
Philip ScheltensAlzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.
Wiesje M van der FlierAlzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.
Jussi MattilaCombinostics Ltd., Tampere, Finland.
Jyrki LötjönenCombinostics Ltd., Tampere, Finland.
Casper de BoerAlzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.
Amsterdam Neuroscience · NLUniversity of Copenhagen · DKUniversity of Eastern Finland · FIVTT Technical Research Centre of Finland · FIMaastricht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGait analysis with accelerometers is a relatively inexpensive and easy to use method to potentially support clinical diagnoses of Alzheimer's disease and other dementias. It is not clear, however, which gait features are most informative and how these measures relate to Alzheimer's disease pathology.

objectiveIn this study, we tested if calculated features of gait 1) differ between cognitively normal subjects (CN), mild cognitive impairment (MCI) patients, and dementia patients, 2) are correlated with cerebrospinal fluid (CSF) biomarkers related to Alzheimer's disease, and 3) predict cognitive decline.

methodsGait was measured using tri-axial accelerometers attached to the fifth lumbar vertebra (L5) in 58 CN, 58 MCI, and 26 dementia participants, while performing a walk and dual task. Ten gait features were calculated from the vertical L5 accelerations, following principal component analysis clustered in four domains, namely pace, rhythm, time variability, and length variability. Cognitive decline over time was measured using MMSE, and CSF biomarkers were available in a sub-group.

resultsLinear mixed models showed that dementia patients had lower pace scores than MCI patients and CN subjects (p < 0.05). In addition, we found associations between the rhythm domain and CSF-tau, especially in the dual task. Gait was not associated with CSF Aβ42 levels and cognitive decline over time as measured with the MMSE.

conclusionThese findings suggest that gait - particularly measures related to pace and rhythm - are altered in dementia and have a direct link with measures of neurodegeneration.

Indexed as

AgedAlzheimer DiseaseAmyloid beta-PeptidesBiomarkersCognitionCognitive DysfunctionCohort StudiesDisease ProgressionFemaleGaitGait Disorders, NeurologicHumansMaleMemoryMiddle AgedNeuropsychological TestsAmyloid beta-PeptidesBiomarkersPeptide Fragmentstau ProteinsAlzheimer’s diseasecognitive dysfunctiondementiagait analysistau proteins

Identifiers

PMID32597806
PMCPMC7505008
OpenAlexW3037450162

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.